A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images
In synthetic aperture radar (SAR) image change detection, it is quite challenging to exploit the changing information from the noisy difference image subject to the speckle. In this paper, we propose a multi-scale spatial pooling (MSSP) network to exploit the changed information from the noisy diffe...
Main Authors: | Jia-Wei Chen, Rongfang Wang, Fan Ding, Bo Liu, Licheng Jiao, Jie Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-05-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/10/1619 |
Similar Items
-
Evaluation of Robust Spatial Pyramid Pooling Based on Convolutional Neural Network for Traffic Sign Recognition System
by: Christine Dewi, et al.
Published: (2020-05-01) -
Group and Shuffle Convolutional Neural Networks with Pyramid Pooling Module for Automated Pterygium Segmentation
by: Siti Raihanah Abdani, et al.
Published: (2021-06-01) -
A Novel on Conditional Min Pooling and Restructured Convolutional Neural Network
by: Jun Park, et al.
Published: (2021-10-01) -
Scale variant vehicle object recognition by CNN module of multi-pooling-PCA process
by: Yuxiang Guo, et al.
Published: (2023-12-01) -
Detection of Algorithmically Generated Domain Names Using the Recurrent Convolutional Neural Network with Spatial Pyramid Pooling
by: Zhanghui Liu, et al.
Published: (2020-09-01)